> ## Documentation Index > Fetch the complete documentation index at: https://technologychecker.io/docs/llms.txt > Use this file to discover all available pages before exploring further. # Real-Time Technology Buying Signals > Real-time subscriber and churn signals when companies adopt, remove, or switch technologies. Includes replacement detection, signal confidence scoring, verified decision-maker contacts, and custom audience exports. Delivered via email, Slack, webhooks, or CRM. Signals monitors real-time technology changes across 50M+ domains. When a company subscribes to, drops, or switches technologies, that change becomes an actionable buying signal delivered with verified decision-maker contacts. Your team can act on it right away. Signals dashboard showing five signal types — New Technology Adoption, Technology Churn, Active Buyers in Category, Buyers in Related Categories, and Real-time Backend Signals — each with live activity counts ## Signal types TechnologyChecker tracks six types of signals: Detect when companies start using a technology, including backend tools and standalone platforms that browser-based tools miss. * Real-time adoption detection across 50M+ domains * Timestamp of first detection * Signal confidence scoring * Trend analysis: is this technology gaining or losing market share? *Example: "Alert me when prospects adopt Stripe" — identifies companies investing in payment infrastructure.* **Use case:** Sell complementary products to companies actively building their stack. Detect when companies stop using a technology. Identify frustration signals and displacement opportunities before competitors notice. * Real-time removal detection * Estimated removal date * Churn pattern analysis using historical data * Early warning indicators before full removal *Example: "Alert me when companies drop Intercom." Identifies companies actively seeking alternatives during the 30-60 day evaluation window.* **Use case:** Reach out with your alternative while the prospect is evaluating options. See what companies switched to after dropping a technology. Competitive displacement, in real time. * Automatic detection of replacement technology * Migration pattern matching against historical data * Competitive positioning insights *Example: "Alert me when companies switch from Intercom to Zendesk." You'll see competitive movements as they happen.* **Use case:** Intervene during active technology evaluations or target companies switching to a tool you integrate with. Track when prospects adopt your competitors' tools and intervene during the evaluation window. *Example: "Alert me when target accounts adopt Marketo." Engage before they fully commit.* **Use case:** Competitive selling with technology context and verified contacts for decision-makers. Monitor your existing customers for signs they're evaluating competitors. Proactive retention outreach based on real signals. *Example: "Alert me when my customers add BambooHR." Catch at-risk accounts before renewal.* **Use case:** Customer success teams can address migration concerns before renewal conversations. Detect when companies adopt backend tools (n8n, databases) and standalone platforms (Airtable, Notion) that signal operational changes. *Example: "Prospect adopted n8n + Airtable." They're building custom workflows. Strong buying signal.* **Use case:** Identify companies building operations infrastructure who need your platform. ## Signal confidence scoring Every signal includes a confidence score so you can prioritize high-certainty detections: | Signal source | Confidence level | Description | | ------------------------ | ---------------- | ------------------------------------ | | DNS-based detection | High (95%+) | CNAME, NS, MX record changes | | SSL certificate-based | High (95%+) | Certificate transparency log changes | | HTTP header-based | High (85%+) | Server headers, response signatures | | Code-based detection | Medium (70-85%) | JavaScript, HTML pattern changes | | Infrastructure inference | Medium (60-80%) | IP, ASN, CDN fingerprint changes | When building automated workflows, filter on confidence score to focus on the highest-certainty signals. Scores above 80 indicate detection backed by multiple independent signal sources. ## Alert delivery | Channel | Description | | ------------- | -------------------------------------------------------------------- | | Email | Instant notification with technology change details and contact data | | Slack / Teams | Direct delivery to your team's channels | | Webhooks | Trigger custom workflows and automation | | CRM tasks | Automatic task creation in Salesforce, HubSpot, or Pipedrive | | API callbacks | Programmatic integration with your internal tools | ## Alert customization | Setting | Description | | -------------------- | ------------------------------------------------------------------- | | Target technologies | Monitor specific technologies or entire categories | | Company filters | Filter by size, industry, geography | | Confidence threshold | Set minimum confidence score for alerts | | Signal type | Subscribe to specific signal types (subscriber, churn, replacement) | | Custom rules | Define custom alert logic combining multiple conditions | ## What's included in every alert Every signal includes the context your team needs to act: * **Technology change details:** What was subscribed, dropped, or switched (with timestamps) * **Signal confidence score:** How reliable the detection is * **Verified decision-maker contacts:** Emails for the right person to reach * **Company firmographics:** Size, industry, location, and LinkedIn data * **Historical context:** How common is this change? What typically follows? * **Recommended action:** Suggested outreach angle based on the signal type ## Custom audience integration Export signal-matched contacts directly into ad platforms for timely targeting: * Companies that just subscribed to a technology: reach them during onboarding * Companies that just dropped a competitor: reach them during evaluation * At-risk customers adopting competitor tools: targeted retention ads Exports formatted for LinkedIn Matched Audiences, Facebook Custom Audiences, and Google Customer Match. Want to learn more about Signals? Contact [support@TechnologyChecker.io](mailto:support@TechnologyChecker.io) for details. ## Related pages Scan any website to see its full technology stack. Build targeted prospect lists with technology and company filters. Churn prevention and buying window detection workflows. Real-time signals and how they compare to alternatives.